How common is delayed type 1 diabetes diagnosis in children?

From diabetesincontrol.com

A delayed type 1 diabetes diagnosis can allow early warning signs to progress into a medical emergency. Yet children with excessive thirst, frequent urination, and unexplained weight loss may leave healthcare visits without the correct diagnosis. Why do these familiar symptoms go unnoticed? A scoping review of 27 studies reveals troubling gaps in clinical recognition, testing, and diabetes classification. The findings highlight opportunities for healthcare professionals to identify type 1 diabetes earlier and reduce potentially preventable diabetic ketoacidosis (DKA).

What Research Reveals About Delays in Diagnosing Type 1 Diabetes

A scoping review published October 12, 2026, in BMC Paediatrics examined delayed diagnosis and misdiagnosis among children and adolescents with type 1 diabetes. Researchers analysed 27 studies selected from 1,936 screened records.

The published scoping review reported substantial variation in diagnostic delays across healthcare settings.

Among studies that did not separate patients by DKA status, delayed diagnosis occurred in 14.1% to 46.6% of cases. Meanwhile, 16.0% to 38.7% of patients had their diagnosis missed during their first healthcare contact.

For patients presenting with DKA, reported diagnostic delays ranged from 43.0% to 98.1%. However, these figures reflect different study populations, definitions, and measurement methods.

Importantly, they should not be interpreted as a single overall rate of missed diagnoses.

The review also identified diabetes-type misclassification rates ranging from 1.4% to 22.7%.

Together, these findings suggest that diagnostic uncertainty remains a significant challenge in paediatric diabetes care. Furthermore, the review identified missed symptoms, incorrect symptom interpretation, and problems with laboratory testing as recurring clinical errors.

Common Type 1 Diabetes Symptoms Clinicians May Overlook

Early type 1 diabetes symptoms can resemble common childhood illnesses. Consequently, healthcare professionals may initially consider other explanations.

Frequent urination may be mistaken for a urinary tract infection. Increased thirst can appear related to warm weather, exercise, or dehydration. Similarly, fatigue and weight loss may be attributed to infection, stress, or changing eating habits.

However, these symptoms become more concerning when they appear together.

Classic warning signs include excessive thirst, frequent urination, night-time bedwetting after previously staying dry, unexplained weight loss, increased hunger, and persistent tiredness.

Younger children may present additional diagnostic challenges because they cannot clearly describe their symptoms.

As insulin deficiency progresses, nausea, vomiting, abdominal pain, and rapid breathing may develop. Unfortunately, these symptoms can resemble gastrointestinal or respiratory illnesses.

Because these symptoms overlap with other childhood illnesses, clinicians may overlook type 1 diabetes, particularly when blood glucose testing is not performed.

For healthcare professionals, symptom patterns matter more than any single complaint. A child with unusual thirst, frequent urination, and weight loss warrants prompt diabetes evaluation, even when another illness seems possible.

Why Diagnostic Mistakes and Diabetes Misclassification Matter

Missing the initial diagnosis is only one concern. Incorrectly identifying the type of diabetes can also delay appropriate treatment.

The review found that type 1 diabetes and type 2 diabetes were sometimes confused, particularly when clinical presentations were unusual.

For example, clinicians may associate excess body weight with type 2 diabetes. However, children with overweight or obesity can also develop autoimmune type 1 diabetes.

Conversely, some young patients with type 2 diabetes may present with ketosis or DKA. Therefore, neither body weight nor DKA alone establishes diabetes type.

The 2024 ISPAD clinical guidelines emphasize evaluating clinical characteristics and pancreatic autoantibodies when distinguishing diabetes types.

Tests for GAD65, IA-2, and other islet autoantibodies can support classification when appropriate. C-peptide testing may also help assess insulin production in the right clinical setting.

However, clinicians should not delay urgent insulin treatment while awaiting classification results in a patient with suspected significant insulin deficiency.

Misclassification can lead to inappropriate treatment decisions and prolonged hyperglycemia. In severe cases, insufficient insulin treatment may contribute to DKA.

Previous Diabetes in Control coverage of type 1 diabetes diagnosis similarly emphasized that autoimmune diabetes can occur in patients with obesity.

These findings reinforce the importance of clinical assessment rather than assumptions based on appearance or age.

How Earlier Recognition Can Help Prevent Diabetic Ketoacidosis

Avoiding delays in diagnosing type 1 diabetes starts with recognizing warning signs and ordering timely glucose testing.

For children with classic symptoms, prompt blood glucose assessment provides a practical starting point. Point-of-care glucose testing can identify concerning hyperglycaemia immediately, while laboratory plasma glucose testing supports formal diagnosis.

A random plasma glucose of at least 200 mg/dL (11.1 mmol/L) in a patient with classic symptoms meets established diagnostic criteria.

Additionally, ketone testing is essential when insulin deficiency or DKA is suspected.

Children experiencing vomiting, abdominal pain, dehydration, deep breathing, or altered mental status require urgent evaluation for DKA. Assessment may include blood ketones, electrolytes, and acid-base status.

Importantly, clinicians should not wait for HbA1c results before addressing a suspected metabolic emergency.

Healthcare teams can also reduce diagnostic errors by improving communication between primary care, emergency departments, and paediatric diabetes specialists.

Clear referral pathways and documented follow-up plans may help prevent patients from being lost between appointments.

Patient and caregiver education remains equally important.

Families should understand that persistent thirst, frequent urination, and unexplained weight loss are not symptoms to ignore.

Earlier recognition may allow treatment before serious metabolic deterioration develops. Indeed, previous Diabetes in Control reporting on pediatric DKA prevention highlighted the value of symptom education and structured monitoring.

Although the scoping review did not establish how many DKA cases could be prevented, its findings identify important opportunities to improve clinical practice.

Conclusion

When type 1 diabetes goes unrecognized, children and adolescents face a greater risk of serious complications, including diabetic ketoacidosis.

The 27-study scoping review demonstrates that missed symptoms, inconsistent testing, and incorrect diabetes classification can contribute to diagnostic uncertainty and treatment errors.

For clinicians, the message is clear: recognize classic symptom patterns, assess glucose promptly, investigate possible DKA, and avoid relying on assumptions about diabetes type.

Better awareness, timely testing, and coordinated care may help patients receive appropriate treatment before preventable complications develop.

Frequently Asked Questions

1. What are the most commonly missed symptoms of type 1 diabetes?

Frequent urination, excessive thirst, unexplained weight loss, fatigue, and new bedwetting are important warning signs. These symptoms may be mistaken for other childhood conditions, especially when they develop gradually.

2. How common is delayed type 1 diabetes diagnosis in children?

The 2026 scoping review reported delayed diagnosis in 14.1% to 46.6% of cases in studies without DKA stratification. Rates varied significantly across populations and study methods.

3. Can type 1 diabetes be mistaken for type 2 diabetes?

Yes. Type 1 diabetes can occur in children with overweight or obesity. Clinical assessment and appropriate antibody testing can help clinicians distinguish between diabetes types.

4. Why does a missed diagnosis increase the risk of DKA?

Without sufficient insulin, the body breaks down fat and produces ketones. Rising ketone levels can cause dangerous blood acidity, dehydration, and life-threatening complications. Prompt diagnosis and treatment reduce the opportunity for this deterioration.

5. What should clinicians do when they suspect type 1 diabetes?

Healthcare professionals should promptly assess blood glucose, evaluate ketones when indicated, and arrange urgent specialist care when diabetes or DKA is suspected. Treatment of metabolic emergencies should never be delayed while awaiting diabetes-type classification.

This content is not medical advice. For any health issues, always consult a healthcare professional. In an emergency, call 911 or your local emergency services.

https://www.diabetesincontrol.com/delayed-type-1-diabetes-diagnosis-missed-symptoms/ 

Strawberries vs. Bananas: Which Fruit Is Better for Blood Sugar? Registered Dietitians Explain

From parade.com

By Beth Ann Mayer

Read this before you blend up your next smoothie 

Between the interest in GLP-1s and desire to ward off the dreaded 3 p.m. slump, blood sugar control has become a buzzy word on social media. Keeping blood sugar in check can indeed protect you against type 2 diabetes (or help you manage it if you have it) and keep you from becoming “hangry” and exhausted in the afternoon. However, registered dietitians like Amanda Sauceda, MS, RD, are noticing a rumour: fruits like bananas and strawberries are “bad” for blood sugar. Is that true? Not quite.

“While fruit is a source of natural sugar, like fructose, it won’t have the same effect on your body when compared to eating candy or refined carbohydrates,” Sauceda tells Parade. “Fruit is a mix of natural sugar along with a variety of vitamins and minerals, as well as fibre, which makes it better for your blood sugar.”

But which one is better for blood sugar: strawberries or bananas? After all, different fruits have distinct nutrient profiles, offering benefits to everything from your immune system to your brain health. When it comes to blood sugar, you can start by looking at the glycaemic index (GI).

“The glycaemic index (GI) is a scale that measures how quickly carbohydrate-containing foods raise blood sugar levels compared to glucose, a form of sugar,” says Kara Dawson, RD, the clinical nutrition manager at HonorHealth Four Peaks Medical Center.

Dawson says the scale ranges from 0 to 100, and high-GI foods (70 or above) cause rapid spikes in blood sugar. Low-GI items are digested slowly (55 and below), so blood sugar rises and falls more gradually. Below, registered dietitians will explain whether strawberries or bananas have a lower GI.

However, that’s not all to keep in mind when evaluating a food’s effect on blood sugar. Registered dietitians present their case for the great food fight—strawberries vs. bananas: Which fruit is better for blood sugar?

XOLODAN/Getty Images

Bananas vs. Strawberries for Blood Sugar

If managing blood sugar is a concern when you eat, strawberries may support you better than bananas. Here’s why:

• Strawberries are a lower-GI food than bananas. Dawson points out that strawberries have a GI of about 40, which classifies them as a low-glycaemic food. A banana’s GI depends on ripeness, with a medium one coming in at about 42-51. But riper bananas can have a GI of 56-85. “Bananas can cause a slightly quicker rise in blood sugar level, even if you eat the same number of calories of strawberries and bananas,” she says.
• Strawberries have a better fibre-to-total-carb ratio than bananas. Technically, bananas have a little more fibre by weight (about 2.6 grams per 100 grams, compared with about 2 grams per 100 grams in strawberries, reports Dr. Chris Mohr, Ph.D., RD, a fitness and nutrition advisor for Garage Gym Reviews). Fibre slows digestion, helping keep blood sugar from rising too quickly after eating. Yet, the fibre edge somehow goes to strawberries. Here’s why: “Strawberries have much fewer carbs overall, so they give you a good amount of fibre for a lower sugar load,” he adds.
• Strawberries are packed with antioxidants to support blood sugar. Dr. Mohr says that strawberries contain anti-inflammatory properties, including vitamin C and anthocyanins (a plant-based compound). Some research suggests that eating strawberries may reduce blood sugar and insulin response when eaten with a higher-carb meal, but this can vary by person.

Quick note: While strawberries edge out bananas for blood sugar, Dr. Mohr notes that it matters how you consume the strawberries. “The main thing to watch is the form, since jams, syrups, sweetened dried strawberries and desserts with strawberries can have a lot of added sugar,” he says.

Bananas vs. Strawberries for Energy

Bananas have components that make them better than strawberries for a sustainable energy boost. Here are RDs’ reasons:

• A medium banana has double the calories as a cup of strawberries. Despite what diet culture would have us believe, calories are not the enemy. Calories simply measure energy—energy that helps us breathe, think, digest food, tissue repair and so many other vital functions,” says Sharniquia White, MS, a culinary dietitian and the founder of YouNiqly Nourishing LLC. “This could make [bananas] better suited for long day snacks or pre-/post-workout, since they provide more energy.”
• A medium banana boasts more than twice the carbs as one cup of strawberries. Carbs aren’t evil, either. “Carbohydrates are the body’s preferred energy source,” White says. “Carbohydrates get broken down into glucose, which then enters the bloodstream and becomes available for cells to produce energy. The brain, muscles and nervous system all heavily rely on carbohydrates for sustained energy.”
• Bananas are a great source of vitamin B6. Sauceda says vitamin B6 helps “unlock the energy from your food.” “After you eat, your body will break down your food, then start to absorb those nutrients,” she explains. “From there, the body uses vitamins, like B6, to convert the food you eat into a fuel source for your cells.”
• Bananas will net you powerful potassium. Potassium is a vital nutrient for your overall health–energy levels included. “Potassium…helps with processes needed for nerve communication, muscle contractions and each cell’s metabolic processes,” Dawson says.

Bananas vs. Strawberries: Nutrients and Other Health Benefits

What does the actual nutrition breakdown for each fruit look like, anyway? Here’s a glance:

	Strawberries	Bananas
Serving size	1 cup, whole	1 medium
Calories	46 calories	105 calories
Total carbohydrates	11 grams	27 grams
Fibre	2.9 grams	3.1 grams
Vitamin C	84.7 mg	10.3 mg
Magnesium	18.7 mg	31.9 mg
Manganese	0.6 mg	0.3 mg
Potassium	220 mg	422 mg
Vitamin B6	0.1 mg	0.4 mg
Folate	34.6 mcg	23.6 mcg

It’s worth noting that strawberries and bananas are both so nutrient-dense that they offer benefits beyond blood sugar and energy. “Because strawberries are packed with vitamin C, they can support iron absorption.” White states. “They are super supportive of hydration, due to their high water content.”

Sauceda says bananas are also a win for gut health. “The resistant starch in green bananas can also act as a prebiotic, which means it can benefit your gut. Prebiotics help to feed your good gut bacteria, which encourages a healthy microbiome.”

https://parade.com/health/strawberries-vs-bananas-for-blood-sugar

How often should people with type 2 diabetes see their GP?

From diabetes.co.uk/news

• A data-driven model suggested people at higher risk may benefit from shorter follow-up intervals when HbA1c rises, while stable lower-risk patients could safely have longer gaps.
• A separate study found the first appointments following a diabetes-range HbA1c were particularly important opportunities to document a diagnosis.
• Both studies used US healthcare data and neither proves that algorithm-based scheduling would improve NHS outcomes.

Seeing a GP more frequently is not automatically better for everyone with type 2 diabetes, according to research investigating how primary-care appointments could be scheduled according to individual risk.

Two studies from researchers at the University of Massachusetts Amherst examined different parts of the type 2 diabetes pathway: how frequently people already diagnosed with diabetes should be reviewed, and how quickly an abnormal HbA1c result leads to a documented diagnosis.

The findings suggest that the organisation of primary care may matter alongside individual patient characteristics.

But they do not support simply replacing existing appointment schedules with an algorithm.

Should higher-risk patients be seen more frequently?

The first study used electronic health records from 10 primary-care practices to develop a mathematical model for choosing follow-up intervals.

Rather than automatically reviewing everyone after one, three or six months, the model adjusted the recommended interval according to the person’s current health and diabetes trajectory.

People in the higher-risk group tended to be older and have more existing conditions such as chronic kidney disease and cardiovascular disease.

When HbA1c increased, the model favoured more frequent follow-up in these patients.

For lower-risk people whose glucose remained stable, it allowed longer intervals between appointments.

The model performed better on its mathematical optimisation measure than fixed appointment schedules, including a benchmark based on American Diabetes Association recommendations.

The basic idea is straightforward.

Seeing someone again too soon may provide little new information because HbA1c reflects blood glucose over approximately the previous two to three months.

Waiting too long, however, could allow worsening glucose control to go undetected.

A personalised schedule tries to find the point between those two extremes.

This was a modelling study – not a trial of patient outcomes

That distinction is important.

Researchers did not randomly assign thousands of people to algorithm-selected appointment intervals and then show fewer diabetes complications.

Instead, they used existing electronic health records to build and evaluate a Markov decision model.

Its better performance refers to the model’s predefined optimisation criteria.

It does not yet prove that the approach reduces hospital admissions, kidney disease, cardiovascular complications or mortality in real clinical practice.

A prospective trial would be needed before drawing those conclusions.

A second study examined delays in diagnosis

A separate study investigated 594 adults attending two US primary-care clinics between 2017 and 2023.

All had recorded an HbA1c in the diabetes range – at least 6.5%, equivalent to 48 mmol/mol – before receiving a documented diagnosis of type 2 diabetes.

The median time from the first diabetes-range HbA1c to diagnosis differed between the two clinics, at approximately 1.6 months and two months.

The investigators found that the first few appointments following the abnormal HbA1c appeared to be particularly important opportunities for diagnosis.

However, this finding needs nuance.

After adjustment for other factors, the study did not find statistically significant associations between primary-care location, continuity of care or visit regularity and time to diagnosis.

It would therefore be too strong to conclude that staffing levels or the clinic someone attends have been proven to cause diagnostic delays.

The study was exploratory and involved only two practices.

The researchers argue that differences in staffing, appointment availability and local practice processes deserve further investigation.

Why might diagnosis be delayed?

An HbA1c result does not operate in isolation.

Clinicians may need to repeat tests, review symptoms, rule out factors that can distort HbA1c and consider whether another form of diabetes is possible.

Diabetes.co.uk has guides explaining how diabetes is diagnosed and how the HbA1c test is used in type 2 diabetes.

The healthcare system also has practical constraints.

Appointments may be missed or delayed, laboratory results need reviewing and primary-care teams differ in workload and staffing.

That makes the period immediately following an abnormal result an obvious place to examine whether patients are being lost between testing and treatment.

What could this mean for the NHS?

The studies were conducted using US healthcare data, so the results cannot simply be transferred to NHS general practice.

The UK has different diagnostic pathways, staffing structures, diabetes reviews and commissioning arrangements.

But the underlying question is relevant.

People with type 2 diabetes are highly heterogeneous.

Someone with stable glucose, few complications and a consistent treatment regimen may not need exactly the same follow-up frequency as someone whose HbA1c is rising rapidly alongside kidney or cardiovascular disease.

More appointments are not automatically better if they add workload without changing care.

Equally, leaving a higher-risk person too long between reviews may delay medication changes or recognition of complications.

The potential value of the research is therefore risk-based follow-up, rather than simply increasing or reducing appointment numbers for everyone.

Before an algorithm like this could be used in the NHS, it would need prospective UK validation and evidence that it improves clinically meaningful outcomes without widening inequalities or making access harder for people who need support.

The studies make a sensible case for personalising follow-up.

They do not yet prove the best schedule for doing it.

https://www.diabetes.co.uk/news/2026/oct/how-often-should-people-with-type-2-diabetes-see-their-gp.html